
\begin{table}[htbp]
   \caption{\label{tab:compreg3nga} Regression results: Savings and censored savings regressed on income, race, and urban/rural designation, dropping GPSC data}
   \centering
   \begin{tabular}{lcccccc}
      \tabularnewline \midrule \midrule
       & \multicolumn{3}{c}{Savings} & \multicolumn{3}{c}{Max\{Savings, 0\}} \\ 
      Model:           & (1)            & (2)            & (3)           & (4)            & (5)            & (6)\\  
      \midrule
      \emph{Variables}\\
      Constant         & -82.67$^{***}$ &                &               & 119.6$^{***}$  &                &   \\   
                       & (9.751)        &                &               & (3.274)        &                &   \\   
      Less than \$10k  & 99.41$^{***}$  & 91.86$^{***}$  & 75.25$^{***}$ & -4.442         & -9.805$^{***}$ & -22.78$^{***}$\\   
                       & (7.189)        & (5.356)        & (4.188)       & (2.778)        & (2.226)        & (1.764)\\   
      $10-$15k         & 98.27$^{***}$  & 89.50$^{***}$  & 71.68$^{***}$ & -6.434$^{**}$  & -10.75$^{***}$ & -25.44$^{***}$\\   
                       & (7.254)        & (5.295)        & (4.123)       & (2.857)        & (2.222)        & (1.749)\\   
      $15-$25k         & 91.09$^{***}$  & 81.85$^{***}$  & 65.97$^{***}$ & -3.027         & -7.630$^{***}$ & -21.16$^{***}$\\   
                       & (7.129)        & (5.044)        & (3.783)       & (2.793)        & (2.138)        & (1.604)\\   
      $25-$35k         & 84.23$^{***}$  & 75.70$^{***}$  & 61.16$^{***}$ & 0.7573         & -3.439$^{*}$   & -16.06$^{***}$\\   
                       & (6.933)        & (4.806)        & (3.510)       & (2.706)        & (2.056)        & (1.493)\\   
      $35-$50k         & 73.90$^{***}$  & 69.70$^{***}$  & 56.67$^{***}$ & -3.515         & -5.932$^{***}$ & -17.20$^{***}$\\   
                       & (6.732)        & (4.718)        & (3.402)       & (2.598)        & (1.984)        & (1.409)\\   
      $50-$75k         & 65.30$^{***}$  & 63.19$^{***}$  & 51.40$^{***}$ & -3.851         & -5.481$^{***}$ & -15.34$^{***}$\\   
                       & (6.383)        & (4.508)        & (3.194)       & (2.437)        & (1.895)        & (1.318)\\   
      $75-$100k        & 47.55$^{***}$  & 49.55$^{***}$  & 40.60$^{***}$ & -7.876$^{***}$ & -7.904$^{***}$ & -15.90$^{***}$\\   
                       & (5.865)        & (4.194)        & (2.886)       & (2.249)        & (1.777)        & (1.216)\\   
      $100-$150k       & 27.25$^{***}$  & 32.80$^{***}$  & 28.01$^{***}$ & -4.911$^{***}$ & -3.705$^{**}$  & -8.780$^{***}$\\   
                       & (4.931)        & (3.617)        & (2.326)       & (1.876)        & (1.538)        & (1.025)\\   
      $100-$200k       & 1.923          & 7.737$^{***}$  & 7.464$^{***}$ & -5.103$^{***}$ & -3.708$^{***}$ & -5.643$^{***}$\\   
                       & (3.600)        & (2.791)        & (1.652)       & (1.366)        & (1.184)        & (0.8458)\\   
      Black            & 27.91$^{***}$  & -19.12$^{***}$ & 9.563$^{***}$ & 12.31$^{***}$  & -14.78$^{***}$ & 2.541$^{***}$\\   
                       & (8.331)        & (4.474)        & (1.521)       & (2.668)        & (2.021)        & (0.9403)\\   
      Asian            & -9.864         & -17.44$^{***}$ & 1.753         & -37.46$^{***}$ & -22.29$^{***}$ & -8.802$^{***}$\\   
                       & (6.118)        & (3.925)        & (1.641)       & (2.269)        & (2.040)        & (1.058)\\   
      Native Am.       & 41.70$^{***}$  & 28.77$^{***}$  & 26.61$^{***}$ & 8.060          & 17.88$^{***}$  & 12.56$^{***}$\\   
                       & (7.271)        & (4.510)        & (3.249)       & (4.905)        & (2.638)        & (2.129)\\   
      Other            & -1.902         & -6.594$^{**}$  & 9.100$^{***}$ & -22.86$^{***}$ & -8.053$^{***}$ & 3.834$^{***}$\\   
                       & (4.867)        & (3.185)        & (1.176)       & (1.942)        & (1.652)        & (0.8238)\\   
      Rural PUMA       & 116.7$^{***}$  & 97.72$^{***}$  &               & 78.79$^{***}$  & 72.48$^{***}$  &   \\   
                       & (9.461)        & (6.012)        &               & (4.266)        & (3.371)        &   \\   
      \midrule
      \emph{Fixed-effects}\\
      State            &                & Yes            &               &                & Yes            & \\  
      PUMA             &                &                & Yes           &                &                & Yes\\  
      \midrule
      \emph{Fit statistics}\\
      Observations     & 5,947,311      & 5,947,311      & 5,947,311     & 5,947,311      & 5,947,311      & 5,947,311\\  
      R$^2$            & 0.03579        & 0.27523        & 0.38836       & 0.03337        & 0.12592        & 0.21490\\  
      Within R$^2$     &                & 0.03024        & 0.00541       &                & 0.02727        & 0.00098\\  
      \midrule \midrule
      \multicolumn{7}{l}{\emph{Clustered (PUMA) standard-errors in parentheses}}\\
      \multicolumn{7}{l}{\emph{Signif. Codes: ***: 0.01, **: 0.05, *: 0.1}}\\
      \multicolumn{7}{l}{\emph{Omitted categories are income: 200k+, race: White}}\\
   \end{tabular}
\end{table}


